数据集与基准论文趋势 2023–2026

新数据集与评测协议

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,856 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

数据集与基准论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部数据集与基准论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 5,852 篇，第 113 / 118 页

  1. ICML 2023Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
  2. ICML 2023TabDDPM: Modelling Tabular Data with Diffusion Models
  3. ICML 2023The Catalog Problem: Clustering and Ordering Variable-Sized Sets
  4. ICML 2023The Fast Johnson-Lindenstrauss Transform Is Even Faster
  5. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
  6. ICML 2023The Numerical Stability of Hyperbolic Representation Learning
  7. ICML 2023The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning
  8. ICML 2023Topological Point Cloud Clustering
  9. ICML 2023Towards a Persistence Diagram that is Robust to Noise and Varied Densities
  10. ICML 2023Towards Unbiased Training in Federated Open-world Semi-supervised Learning
  11. ICML 2023Towards Understanding and Reducing Graph Structural Noise for GNNs
  12. ICML 2023TRAK: Attributing Model Behavior at Scale
  13. ICML 2023Transformed Distribution Matching for Missing Value Imputation
  14. ICML 2023Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
  15. ICML 2023Uncertain Evidence in Probabilistic Models and Stochastic Simulators
  16. ICML 2023Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
  17. ICML 2023Unlocking Slot Attention by Changing Optimal Transport Costs
  18. ICML 2023UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
  19. ICML 2023What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
  20. ICML 2023When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
  21. ICML 2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
  22. ICML 2023When does Privileged information Explain Away Label Noise?
  23. ICML 2023Why does Throwing Away Data Improve Worst-Group Error?
  24. ICML 2023Why Target Networks Stabilise Temporal Difference Methods
  25. ICML 2023X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
  26. NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
  27. NeurIPS 2023A benchmark of categorical encoders for binary classification
  28. NeurIPS 2023A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
  29. NeurIPS 2023A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
  30. NeurIPS 2023A Dataset of Relighted 3D Interacting Hands
  31. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
  32. NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
  33. NeurIPS 2023A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship
  34. NeurIPS 2023A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
  35. NeurIPS 2023A Unified, Scalable Framework for Neural Population Decoding
  36. NeurIPS 2023AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
  37. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
  38. NeurIPS 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
  39. NeurIPS 2023Ambient Diffusion: Learning Clean Distributions from Corrupted Data
  40. NeurIPS 2023An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
  41. NeurIPS 2023An information-theoretic quantification of the content of communication between brain regions
  42. NeurIPS 2023An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
  43. NeurIPS 2023AndroidInTheWild: A Large-Scale Dataset For Android Device Control
  44. NeurIPS 2023AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
  45. NeurIPS 2023Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
  46. NeurIPS 2023Automated Classification of Model Errors on ImageNet
  47. NeurIPS 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
  48. NeurIPS 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
  49. NeurIPS 2023BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
  50. NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查数据集与基准在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "dataset-and-benchmarks"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇数据集与基准论文？
共 5,856 篇，按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。
NeurIPS 2026 有多少篇数据集与基准论文？
NeurIPS 2026 有 623 篇数据集与基准论文，上一届是 637 篇。
ICLR 2026 有多少篇数据集与基准论文？
ICLR 2026 有 635 篇数据集与基准论文，上一届是 419 篇。
ICML 2026 有多少篇数据集与基准论文？
ICML 2026 有 275 篇数据集与基准论文，上一届是 189 篇。
CVPR 2026 有多少篇数据集与基准论文？
CVPR 2026 有 458 篇数据集与基准论文，上一届是 337 篇。
哪个会议的数据集与基准论文最多？
NeurIPS，2023–2026 年共 1,935 篇。

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